Results 121 to 130 of about 511,982 (176)
Low-illumination and noisy bridge crack image restoration by deep CNN denoiser and normalized flow module. [PDF]
Sci RepQiu G, Tao D, You D, Wu L.
europepmc +1 more source
Improving Rebar Twist Prediction Exploiting Unified-Channel Attention-Based Image Restoration and Regression Techniques. [PDF]
Sensors (Basel)Park JC, Kim GW.
europepmc +1 more source
Self-supervised image restoration in coherent X-ray neuronal microscopy
Laugros A +18 more
europepmc +1 more source
[A low-dose CT image restoration method based on central guidance and alternating optimization]. [PDF]
Nan Fang Yi Ke Da Xue Xue BaoZhang X, Wang H, Zeng D, Bian Z.
europepmc +1 more source
Image restoration for ring-array photoacoustic tomography system based on blind spatially rotational deconvolution. [PDF]
PhotoacousticsDong W +5 more
europepmc +1 more source
Some of the next articles are maybe not open access.
Related searches:
Related searches:
Applied Optics, 1975
The projection method of solving a set of linear equations was used to restore linearly degraded images. The advantages of this method are that it always converges, it can readily make use of a priori information about the image, and it does not need excessive computation time.
T S, Huang, D A, Barker, S P, Berger
openaire +2 more sources
The projection method of solving a set of linear equations was used to restore linearly degraded images. The advantages of this method are that it always converges, it can readily make use of a priori information about the image, and it does not need excessive computation time.
T S, Huang, D A, Barker, S P, Berger
openaire +2 more sources
Canadian Journal of Statistics, 1994
AbstractWe consider the problem of binary‐image restoration. The image being restored is not random, and we make no assumption about the nature of its contents. The estimate of the colour at each site is a fixed (the same for all sites) function of the data available in a neighbourhood of that site.
Meloche, J., Zamar, R. H.
openaire +1 more source
AbstractWe consider the problem of binary‐image restoration. The image being restored is not random, and we make no assumption about the nature of its contents. The estimate of the colour at each site is a fixed (the same for all sites) function of the data available in a neighbourhood of that site.
Meloche, J., Zamar, R. H.
openaire +1 more source
Restoration of longitudinal Images
Annual Meeting Optical Society of America, 1987A method of restoring longitudinal details in ordinary images is presented. By using a transfer theory for longitudinal objects and inverse filtering, the longitudinal image may be restored. The usual Fourier theory and sampling theorems for transverse images cannot be used directly in the longitudinal case.
Y, Hu, B R, Frieden
openaire +2 more sources
Journal of Statistical Planning and Inference, 1997
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Chan, A., Meloche, J.
openaire +1 more source
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Chan, A., Meloche, J.
openaire +1 more source